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Data Annotation Analyst Jobs in California (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

... data annotation, curation, and quality review • Build and improve QA processes to ensure data ... analysis • Strong organizational skills and attention to detail; able to manage multiple ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly. Preferred * Prior experience with data annotation , labeling, evaluation, or human ...

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

Strong understanding of ML development workflows, data pipelines, and annotation lifecycle ... Excellent communication, negotiation and analytical skills, with the ability to document standard ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Program Management, Analytics, Consulting, AI Operations, or related fields • Strong ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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All JobsData Annotation Analyst JobsData Annotation Analyst Jobs in California

Data Annotation Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data annotation analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data annotation analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Is it difficult to get a job at data annotation?

Securing a data annotation analyst position generally requires attention to detail, basic understanding of data labeling tools, and sometimes prior experience or training. Entry-level roles are often accessible with minimal experience, but more advanced positions may demand specific skills or knowledge of machine learning concepts.

Does data annotation actually pay well?

Data annotation analysts typically earn entry-level wages that are often below average for tech-related roles, with pay varying based on experience, location, and the complexity of annotation tasks. While some positions offer higher pay for specialized skills or certifications, overall compensation tends to be modest compared to other data science or engineering roles.

What does a typical day look like for a Data Annotation Analyst?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

What is a data annotation analyst?

A data annotation analyst is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They use tools and follow guidelines to ensure data quality and accuracy, often working with large datasets in a structured environment.

What are the key skills and qualifications needed to thrive in the Data Annotation Analyst position, and why are they important?

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

Is data annotation still hiring?

Data annotation analyst roles are currently in demand as companies continue to develop AI and machine learning models. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Opportunities are available across various industries, including technology, healthcare, and automotive sectors.

What is a Data Annotation Analyst job?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

What are the most commonly searched types of Data Annotation Analyst jobs in California? The most popular types of Data Annotation Analyst jobs in California are:
What are popular job titles related to Data Annotation Analyst jobs in California? For Data Annotation Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Analyst jobs in California look for? The top searched job categories for Data Annotation Analyst jobs in California are:
Data Annotation Analyst jobs near you
Infographic showing various Data Annotation Analyst job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Project Perseus | Data Quality Analyst - English Speakers (Europe, UK, Canadian and/ or Australian v

Project Perseus | Data Quality Analyst - English Speakers (Europe, UK, Canadian and/ or Australian v

Welo Data

Sunnyvale, CA • On-site

Full-time

Posted 3 days ago

New

Job description

Job Summary:
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role involves bridging Data Labeling Associates and Team Leads to ensure work is completed accurately, combining data quality oversight with hands-on training and support.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level English speaker from an EU10 country, the UK, Canada, or Australia
• University degree (Bachelor’s or higher)
• 2–4 years of experience in data annotation, content quality, QA, or related fields
• Strong ability to interpret and apply complex guidelines with consistency
• Excellent attention to detail with a high bar for quality
• Ability to stay consistent while working with evolving guidelines and priorities
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments
• Prior experience auditing or reviewing the work of others
• Familiarity with safety, compliance, or policy-driven content evaluation
• Must be authorized to work in the U.S. (no visa sponsorship)
• This is a 100% onsite position — remote work is not available for this role
• Candidates must be located in or able to commute to one of the specified cities
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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